Demo Data from EDBT 2026 / reviewers in the wild / expert
Martin Zembaty
dblp:292/6376
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Usability and user experience research · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval
deepfake detection |
0.5 | 1 | 2021 | Towards Understanding Perceptual Differences between Genuine and Face-Swapped Videos · CHI 2021 |
Usability and user experience research
perceptual studies |
0.1 | 1 | 2021 | Towards Understanding Perceptual Differences between Genuine and Face-Swapped Videos · CHI 2021 |
Methods — techniques the papers use, named apart from their topics
perceptual experiment · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Towards Understanding Perceptual Differences between Genuine and Face-Swapped VideosabstractIn this paper, we report on perceptual experiments indicating that there are distinct and quantitatively measurable differences in the way we visually perceive genuine versus face-swapped videos. Leslie Wöhler, Martin Zembaty, Susana Castillo 0001, Marcus A. Magnor |
CHI | 2 |